Dr. Tanu Gupta is an Assistant Professor in the School of Computer Science and Engineering at IILM University, Gurugram. She earned her Ph.D. in Computer Science and Engineering from Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi, where her doctoral research focused on developing advanced Question Answering Systems using deep learning and Natural Language Processing (NLP) techniques. Her research interests encompass Natural Language Processing, Artificial Intelligence, Data Science, Deep Learning, and Intelligent Information Retrieval. She has published several research papers in reputed Scopus and Web of Science-indexed journals and conferences, with notable contributions in biomedical question classification, deep learning-based Question Answering systems, and evaluation methodologies. Dr. Gupta is also the inventor of two published Indian patents, including a novel evaluation metric for Question Answering systems and an intelligent reward system for academic performance tracking. She actively participates in Faculty Development Programmes, workshops, and academic initiatives to stay abreast of emerging technologies such as Artificial Intelligence, Machine Learning, Python, and Business Intelligence. Passionate about teaching, research, and innovation, Dr. Gupta is committed to fostering academic excellence, mentoring students, and contributing to impactful research that addresses real-world challenges. 

Educational Qualification 

• Ph.D., Computer Science and Engineering, Indira Gandhi Delhi Technical University for Women (IGDTUW), Delhi (2025)
  – Topic: Analysis of Question Answering System Using Deep Learning Models (Full Time)
• M.Tech., Computer Science and Engineering, Centre for Development of Advanced Computing (C-DAC), Noida, affiliated to Guru Gobind Singh Indraprastha University (GGSIPU), Delhi (2017)
• B.Tech., Information Technology, Northern India Engineering College, affiliated to Guru Gobind Singh Indraprastha University (GGSIPU), Delhi (2014)

Research and Scholarly Publication

PATENTS

• Answer Relevance Score (ARS): Novel Evaluation Metric for Question Answering System, Application Number: 202411010898 A. Published on 23/02/2024. Indian Patent.
• Intelligent Token-Based Reward System for Enhancing Student and Real-Time Academic Progress Tracking, Application Number: 202511019913 A. Published on 21/03/2025. Indian Patent.
• Real Time Mental Health Monitoring using Smartwatch with Integrated Facial Expression and Behavioral Analysis. Application Number: 202531106421 A. Published on 28/11/2025. Indian Patent

RESEARCH PAPER PUBLICATIONS

• Tanu Gupta, Prof. Ela Kumar Evaluating Drug Entity Relationships using Word Embedding as Features in ICEIEE Conference (Scopus), July 2019. Publisher: Auricle Technologies
• Tanu Gupta, Prof. Ela Kumar Learning Improved Class Vector for Multi-Class Question Type Classification in International Conference on Integrated Intelligent Computing, Communication & Security (ICIIC-2021) organized by SJB Institute of Technology, Bengaluru (Web of Science) on 6-7th August 2021. Publisher: Atlantis Press. DOI: https://doi.org/10.2991/ahis.k.210913.015
• Tanu Gupta, Prof. Ela Kumar Improved Class-Specific Vector for Biomedical Question Type Classification in International Journal of Computational Science and  Engineering (ESCI, Scopus). Publisher: Inderscience. 
• Tanu Gupta, Ela Kumar Fusion of Bi-GRU and temporal CNN for biomedical question classification in International Journal of Computers and Applications (Scopus). Publisher : Taylor & Francis.
• Tanu Gupta, Ela Kumar Answer Relevance Score (ARS): Novel Evaluation Metric for Question Answering System in International Conferences on Advances in Computation, Communication and Information Technology. IEEE, Faridabad (Scopus) on 23rd – 24th November, 2023. DOI: 10.1109/ICAICCIT60255.2023.10466080.

BOOK CHAPTERS 

• Manav Dewan, Aman Mudgal, Pallavi Pandey, Yogita Yashveer Raghav, Tanu Gupta, Predicting Pregnancy Complications Using Machine Learning.   Publisher: IGI Global. Book Title: Technological Tools for Predicting Pregnancy Complications, 2023
• Tanu Gupta, Pallavi Pandey, Yogita Yashveer Raghav, Impact of Social Media Platforms on the Consumer Decision-Making Process in the Food and Grocery Industry. Publisher: IGI Global. Book Title: Influences of Social Media on Consumer Decision-Making Processes in the Food and Grocery Industry, 2023.